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https://github.com/PaddlePaddle/FastDeploy.git
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cb7c8a07d4
* ppdet preproc use manager * pad_to_size chw opencv * pad_to_size chw flycv * fix pad_to_size flycv * add warning message * cvcuda convert cubic to linear, padToSize cvcuda * stridedpad cvcuda * fix flycv include * fix flycv include * fix flycv build * cast cvcuda * fix pybind * fix normalize permute cuda * base processor move funcs to cc * Update pad_to_size.cc
74 lines
2.5 KiB
C++
74 lines
2.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/vision/common/processors/manager.h"
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace detection {
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/*! @brief Preprocessor object for PaddleDet serials model.
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*/
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class FASTDEPLOY_DECL PaddleDetPreprocessor : public ProcessorManager {
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public:
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PaddleDetPreprocessor() = default;
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/** \brief Create a preprocessor instance for PaddleDet serials model
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*
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* \param[in] config_file Path of configuration file for deployment, e.g ppyoloe/infer_cfg.yml
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*/
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explicit PaddleDetPreprocessor(const std::string& config_file);
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/** \brief Implement the virtual function of ProcessorManager, Apply() is the
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* body of Run(). Apply() contains the main logic of preprocessing, Run() is
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* called by users to execute preprocessing
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*
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* \param[in] image_batch The input image batch
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* \param[in] outputs The output tensors which will feed in runtime
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* \return true if the preprocess successed, otherwise false
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*/
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virtual bool Apply(FDMatBatch* image_batch,
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std::vector<FDTensor>* outputs);
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/// This function will disable normalize in preprocessing step.
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void DisableNormalize();
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/// This function will disable hwc2chw in preprocessing step.
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void DisablePermute();
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std::string GetArch() {
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return arch_;
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}
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private:
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bool BuildPreprocessPipelineFromConfig();
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std::vector<std::shared_ptr<Processor>> processors_;
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std::shared_ptr<PadToSize> pad_op_ =
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std::make_shared<PadToSize>(0, 0, std::vector<float>(3, 0));
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bool initialized_ = false;
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// for recording the switch of hwc2chw
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bool disable_permute_ = false;
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// for recording the switch of normalize
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bool disable_normalize_ = false;
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// read config file
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std::string config_file_;
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// read arch_ for postprocess
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std::string arch_;
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};
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} // namespace detection
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} // namespace vision
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} // namespace fastdeploy
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